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Data Head

1 month ago

City of Johannesburg Metropolitan Municipality, South Africa WesBank Full time
Job title : Data HeadJob Location : Gauteng, JohannesburgDeadline : March 06, 2025Quick Recommended Links
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Job Description

  • To develop strategy based on FirstRand Data and Analytics strategy, Information Governance strategy and business strategy and ensure implementation thereof in order to derive value from data.
  • To drive alignment to FirstRand Information Governance Framework and the Information Architecture policy.
  • To measure, monitor and report on the Data Head KPIs (Information Management KPIs).
  • Hello, Future Data Head

Job Summary

  • The purpose for this role is to develop and execute an Information Management (IM) strategy for the WesBank Motor Vehicle Asset Finance and Commercial Asset Based Finance business units, based on the WesBank Data Strategy, FirstRand Data and Analytics strategy, Information Governance Framework and business strategies, and ensure the implementation thereof in order to derive value from data. The successful incumbent will also need to drive alignment to the FirstRand Information Governance Framework, the Information Architecture Policy and other related IM policies as well as measure, monitor and report on the Data Head KPI’s (Information Management KPI’s).

Key responsibilities

  • Draw up a budget aligned to tactical delivery plans, monitor effectiveness and report on variances
  • Manage expenditure planning and reporting within approved budget parameters
  • Anticipate and meet the needs of clients and commit to continuous development and entrenchment of a customer service culture
  • Establish mutually beneficial relationships with stakeholders, that support thought leadership, innovative and integrated practice solutions
  • Provide input into, and implement, corporate governance, compliance, integrity and ethics policies in are of accountability to identify and manage risk exposure
  • Ensure adoption and localisation of common frameworks, practices, processes, standards and integration of business data value chain Ensure Platform alignment, governance, policy standards alignment and integration across relevant areas
  • Ensure alignment of data and goals with the reduction of total cost of ownership, long term support costs and landscape complexity
  • Ensure ethical usage of data and information that complies to restrictions applied for privacy and sensitivity classification
  • Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy Ensure reporting of any Data Privacy Incidents and drives resolution of Privacy and Protection Audit Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments
  • Manage business data Information management (information architecture; metadata; master and reference data; data development and warehousing; content, document and records; data quality, storage and operations; information security and data privacy management) to ensure required standards and practices across data production, management and consumption
  • Create tactical plans for achievement of outputs / deliverables in collaboration with Technology stakeholders to ensure the effective implementation of information technology solutions to support information management requirements
  • Manage business BI function to productionalise report development and delivery that meets business information requirements, if required
  • Ensure data which is mastered in the relevant business unit is replicated to the enterprise data platform in appropriate format utilising existing data structures and appropriate tools
  • Implement and adhere to the appropriate Information Management and Governance standards and practices as a Supplier/Owner of Data
  • Ensure data is made meaningful and consumable as organisational asset
  • Assume accountability for deriving, delivering and managing Data Product from the data under business ownership via the group's data architecture
  • Assume accountability for integrating own data theme across multiple BUs, systems, channels etc.
  • Ensure that operational processes requiring data are properly and robustly productionized for sustainability
  • Ensure adherence to appropriate information management practices, Information Architecture Framework and delivering operational robustness Manage business data sharing function across enterprise by driving awareness of data products and adoption throughout the organisation to extract business value where appropriate
  • Assume accountability for how data will be sourced, modelled, stored, consumed, integrated and managed to meet strategic business requirements and answer analytical questions
  • Pull together data from various sources to integrate into format allowing for analytical consumption
  • Manage integration of data for business and creation of data mart to answer business questions, including data warehousing management
  • Ensure data through the various data supply chains is secured and any risks associated to privacy is mitigated Define data architecture principles to be adopted by the business in adherence to Information Architecture Framework
  • Ensure applicable data product is productionized accordingly to appropriate policies and standards and utilizing the appropriate Group platforms
  • Model and assist with driving a data driven culture that values data as an asset with business value
  • Lead relevant change and communications functions to drive functional maturity
  • Plan and manage performance, talent, succession and culture across function in order to improve performance
  • Demonstrate leadership behaviour through personal involvement, commitment and dedication in support of organisational values
  • Develop encourage and nurture collaborative relationships across the FRG
  • Participate in planned activities that are appropriate for own and employee development

Qualification and Experience

  • Minimum qualification: Relevant bachelors degree
  • Preferred qualification: Relevant postgraduate degree or recognised qualification specialising in Information Management and/or Data Science
  • Experience: A minimum of 5 - 8 years' relevant experience in Information Management, Data Science, Data Engineering or Computer Science of which 3 - 4 years' ideally at a Senior level role

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